Analysis of wavelet basis selection in optimal trajectory space finding for 3D non-rigid structure from motion

Analysis of wavelet basis selection in optimal trajectory space finding for 3D non-rigid structure from motion
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3D非刚性结构运动最优轨迹空间寻找中的小波基选择分析

DOI:
10.1142/s0219691314500234
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发表时间:
2014-05
期刊:
International Journal of Wavelets, Multiresolution and Information Processing
影响因子:
--
通讯作者:
Zhang, Huaxiong
Zhang, Huaxiong
中科院分区:
其他
文献类型:
--
作者:
Cheng, Jianmin;Zheng, Junbao;Xiong, Yingli;Zhang, Huaxiong

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提出了一种描述非刚性变形的轨迹表示模型。在此基础上,提出了一种从运动恢复三维非刚性结构最优轨迹空间的算法(OTSF-NRSFM)。然而,小波基的选择对OTSF-NRSFM算法的影响还没有被研究。为了帮助OTSF-NRSFM研究者正确选择小波基,我们研究了小波基选择的影响。本文讨论了两种典型的小波基:DCT基和WHT基。分析了小波基和特征点轨迹的频谱特性、人工鲨鱼数据的轨迹表示结果、人工数据和真实的数据的OTSF-NRSFM重建结果。结果表明,小波的选择对某些非刚性特征点的OTSF-NRSFM重建结果有很大的影响,这些特征点具有复杂的轨迹。本文对OTSF-NRSFM算法中小波基的选取问题给予了一定的启发。
Trajectory representation model has been proposed to describe non-rigid deformation. An optimal trajectory space finding algorithm for 3D non-rigid structure from motion (OTSF-NRSFM) based on this model also has been proposed. However, the influence of the wavelet basis selection on the OTSF-NRSFM algorithm has still not been studied. To help OTSF-NRSFM researchers select wavelet basis properly, we investigated the influences of wavelet basis selection. Two typical wavelet bases, DCT basis and WHT basis, are discussed in this paper. The spectrum properties of wavelet basis and feature point trajectory, trajectory representation results on synthetic shark data, OTSF-NRSFM reconstruction results on synthetic data and real data are analyzed. The results show that the wavelet selection has much influence on OTSF-NRSFM reconstruction results of some non-rigid feature points, which have complicated trajectory. This paper gives researchers some inspiration about wavelet basis selection in OTSF-NRSFM algorithm.
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